This short video demonstrates how Vantiq can be used to build a real-time workforce heatstroke monitoring and prevention application, built in just one week, that continuously tracks worker vitals and environmental conditions to detect heat stress risk and coordinate a response before it becomes a crisis.
In this scenario, workers are equipped with body-worn sensors tracking skin temperature and heart rate, while their mobile devices provide GPS location and real-time ambient conditions. A weather service feeds environmental data into the same stream. Vantiq fuses all of this together, applying machine learning to estimate core body temperature and classify each worker’s risk level across four tiers: Safe, Attention, Warning, and Dangerous.
When a worker’s status changes, the response is immediate and coordinated. The worker is notified on their mobile device, the command center dashboard updates in real time, and nearby colleagues receive the worker’s location along with the nearest rest areas and medical supplies. AI agents manage the response end-to-end, from directly assisting the individual at risk to coordinating across the broader worksite. If conditions worsen, the system escalates automatically. If they improve, it closes the loop on its own.
The result is a proactive safety system that removes the gap between detecting a risk and acting on it, giving supervisors real-time visibility and ensuring workers in the field are never left without support.
To learn more about how Vantiq enables real-time AI-driven operations across workforce safety and critical infrastructure, schedule a custom live demo today.